Hyperdimensional Computing for Lightweight Modal-Based Damage Classification in Concrete Structures
Structural Health Monitoring (SHM) systems increasingly require efficient and scalable methods for identifying structural damage under dynamic loading. Traditional learning-based SHM models often rely on high-dimensional features or deep architectures, which may be computationally intensive and diff...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2025-11-01
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| Serie: | Engineering Proceedings |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2673-4591/118/1/47 |
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